End of training
Browse files- README.md +19 -4
- all_results.json +15 -0
- eval_results.json +9 -0
- logs/events.out.tfevents.1744833280.s_004_m +3 -0
- train_results.json +9 -0
- trainer_state.json +126 -0
README.md
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---
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base_model: Hartunka/tiny_bert_rand_100_v1
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: tiny_bert_rand_100_v1_wnli
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results:
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# tiny_bert_rand_100_v1_wnli
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This model is a fine-tuned version of [Hartunka/tiny_bert_rand_100_v1](https://huggingface.co/Hartunka/tiny_bert_rand_100_v1) on
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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---
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language:
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- en
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base_model: Hartunka/tiny_bert_rand_100_v1
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tags:
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- generated_from_trainer
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datasets:
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- glue
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metrics:
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- accuracy
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model-index:
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- name: tiny_bert_rand_100_v1_wnli
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: GLUE WNLI
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type: glue
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args: wnli
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.5633802816901409
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# tiny_bert_rand_100_v1_wnli
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This model is a fine-tuned version of [Hartunka/tiny_bert_rand_100_v1](https://huggingface.co/Hartunka/tiny_bert_rand_100_v1) on the GLUE WNLI dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6914
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- Accuracy: 0.5634
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## Model description
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all_results.json
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{
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"eval_loss": 0.69140625,
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"total_flos": 99911832606720.0,
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"train_loss": 0.6944943798912896,
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"train_steps_per_second": 21.181
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}
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eval_results.json
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{
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}
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logs/events.out.tfevents.1744833280.s_004_m
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version https://git-lfs.github.com/spec/v1
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oid sha256:c11143d132dbc9ce460025fc3d51996919d310ead4de58b83ab4b15441a0fcb9
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size 308
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train_results.json
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{
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}
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trainer_state.json
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